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Image clustering device and method

An image clustering and clustering technology, applied in the field of image processing, can solve the problem that the clustering results cannot be further improved, and achieve the effect of improving the accuracy

Active Publication Date: 2017-03-01
FUJITSU LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the inventors found that in the prior art (for example, ClustTour) only considers the link structure between images, it only uses the graph-based clustering method, so the label information of the image is required, and the clustering result cannot be further improved

Method used

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Experimental program
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Embodiment 1

[0031] An embodiment of the present invention provides an image clustering device, figure 1 is a schematic diagram of the structure of the image clustering device of the embodiment of the present invention. Such as figure 1 As shown, the image clustering apparatus 100 includes: a first clustering unit 101 , a second clustering unit 102 and a fusion unit 103 .

[0032] Wherein, the first clustering unit 101 performs clustering based on visual features to multiple images to obtain the first set; the second clustering unit 102 performs clustering of the link structure to multiple images to obtain the second set; the fusion unit 103 The result of image clustering is obtained by fusing the first set and the second set by visual feature information and link structure information.

[0033] In this embodiment, a plurality of images may be given first, and the images may be geotagged images. For example, given N images I={(x 1 , g 1 ),(x 2 , g 2 ),…,(x n , g n )}, I i =(x i ...

Embodiment 2

[0042] On the basis of Embodiment 1, the embodiment of the present invention further provides an image clustering device, and the same content as Embodiment 1 will not be repeated.

[0043] figure 2is another schematic diagram of the structure of the image clustering device according to the embodiment of the present invention. Such as figure 2 As shown, the image clustering apparatus 200 includes: a first clustering unit 201 , a second clustering unit 202 and a fusion unit 203 . Such as figure 2 As shown, the image clustering apparatus 200 may further include: a classification unit 204, which clusters a plurality of images according to the classification information, so as to filter the plurality of images.

[0044] In this embodiment, the classification information may be image additional information, such as GPS information, but the present invention is not limited thereto, and may also be other classification information. The classification unit 204 can cluster the i...

Embodiment 3

[0074] An embodiment of the present invention provides an image aggregation method, which corresponds to the image aggregation method in Embodiment 1, and the same content will not be repeated here. Figure 5 is a flow chart of the image clustering method of the embodiment of the present invention, such as Figure 5 As shown, the image clustering method includes:

[0075] Step 501, performing clustering based on visual features on multiple images to obtain a first set;

[0076] Step 502, performing link structure clustering on multiple images to obtain a second set;

[0077] Step 503, merging the first set and the second set by using visual feature information and link structure information to obtain an image clustering result.

[0078] In this embodiment, step 502 performing link structure clustering on multiple images to obtain the second set may specifically include: constructing a KNN graph for multiple images based on image visual features, and performing structured clust...

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Abstract

An embodiment of the invention provides an image clustering device and method. The image clustering method comprises performing visual feature based clustering on a plurality of images to obtain a first set; performing link structure clustering on the plurality of images to obtain a second set; performing integration on the first set and the second set through the visual feature information and the link structure information to obtain the image clustering result. According to the image clustering device and method, the accuracy of the clustering result can be further improved and accordingly semantically consistent classes can be generated.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image clustering device and method. Background technique [0002] With the popularization of digital cameras and mobile phones with camera functions, the acquisition of images has become easier and easier. In addition, with the rapid development of the Internet and the increasing popularity of image sharing sites on the web, the number of images is increasing explosively, and it becomes time-consuming and laborious to quickly browse and search for desired images. At present, image tags are mainly relied on to assist quick browsing, but the tags themselves have limitations such as ambiguity, ambiguity, and inaccuracy, so they cannot solve this problem well. [0003] Image self-organization based on image content is very important, and it can effectively assist image browsing. Image clustering (Image Clustering) is an effective method to achieve image self-organization ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/58G06F16/583
Inventor 刘曦刘汝杰
Owner FUJITSU LTD